Course fee: R1 600.00
Deposit: R400.00
Monthly instalments: R400.00 x 3
Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:
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- 8 courses (1h 20m) / 5 labs (5h) / 6 others (5h 40m)
- Optional additional resources are available to enhance your learning in your own time.
Course code: C01365
Course overview:
- Track 1: Feature Engineering
- Track 2: Ensembling Methods
- Track 3: Machine Learning Pipelines
Modules and topics covered:
Track 1: Feature Engineering
Introduction To Feature Selection Methods
Filter Methods
Feature Importance
Introduction to Dimensionality Reduction
Linear Discriminant Analysis
Track 2: Ensembling Methods
Introduction To Ensembling Methods
Stacking Machine Learning Models
Track 3: Machine Learning Pipelines
Machine Learning Workflows
Academic grade: No minimum school pass requirements or formal prerequisites.
Language: Proficiency in English (course material and support only available in English).
Expertise level: Beginner
Equipment: Access to a PC or laptop with a reliable internet connection.
Effort: Self-paced learning online.
Course type: Short course
Industry partner: Skillsoft
Certification: Certificate confirming course completion.
Certification issued by: Optimi College
Assessment information:
Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track. There are no external certification exams for this course.
Dedicated support team
We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.
Skillsoft Learner Management System (LMS) access
Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.